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    ViewBag.Title = "Research";
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    <h3>Frequent Items Discovery in Peer-to-Peer Network</h3>
    <p id="firstPar">Discovering items with frequency above a given threshold has various applications 
    in different disciplines as shown in Table 1. Centralized computations have typical single-point-of-failure problem 
    and high infrastructure maintenance cost in dynamic environment, so distributed computation is more preferrable 
    in case of high dynamicity. We have developed a gossip-based frequent items discovery algorithm named ProFID.</p>

    <h3>Network Sampling in Large-scale Networks</h3>
    <p id="firstPar">Since many real-world networks are massive in size, network sampling is generally needed to understand the characteristics of the underlying 
    network. However, it is known that there is no unique, best sampling technique that gives accurate estimates about all characteristics of the 
    underlying network. Additionally, different applications generally have different
    constraints which restricts the sampling design, which makes the sampling problem even harder. Hence, given the characteristics under study 
    along with application constraints, designing accurate and efficient sampling mechanisms is an important research area.    </p> 
    
    <h3>Dynamic Analysis of Online Social Networks</h3>
    <p id="firstPar">Online Social Networks (OSNs) are todays most popular internet phenomena. Names like Facebook, Twitter, and LinkedIn are most probably familiar to 
    the reader of this page. They have hundred millions of members and each has hundred terbaytes, even petabytes of traffic each day. Users are sharing
    <i>tweets</i>, photos, videos, CVs, and much more personal information in these networks. Observing them as an evolving creature and understanding the 
    evolution of them is very important. For instance, information diffusion is one of the concepts that has been studying by researchers. Evolution of communities,
    change of network characteristics over time  are some other concepts waiting to be discovered and there even more..</p>
          